Data Scientist

Key Results Area CVM strategy • Support on setting up CVM process, governance and strategy. • Support to drive commercial improvement in customer lifecycle management Revenue Generation • Increase CVM revenue Vs universal & campaign control groups • Find out new revenue opportunities by understanding customer behavior and develop NBA/Propensity/Etc.. predictive models accordingly. • Monitor & Report in weekly/Monthly basis revenue generated from CVM activities Improve Customer Experience & Reduce Churn • Develop new use cases to enhance customer experience • Look after Churn prediction & Multi SIM Models to reduce churn and manage inactive customers • Provide data proven recommendations/suggestions to reduce churn Advance Analytics • Utilize Big Data and Real time capabilities to create business use cases that support CVM objectives • Ability to translate data into understandable format to be presented to higher management • In depth knowledge on building advance analytics using R, Python and Advance Analytics Platform like (SAS,DTAIKU) • Develop & fine tune CVM Models to create insights & predict customers behaviors Training • Understand & assess the team current capability • Align with Direct Manager on training plan • Capable to train & coach the team • Able to build internal skill

You should have • 6+ years’ experience telecom experience at least 4 years of which must be in data science field • In depth understanding of business drivers and consumer behavior in a telecom environment • Able to develop, fine tune, enhance all CVM models • In depth understanding of big data, advance analytics, DWH and real-time analytics and campaign tools Skills Required • Reporting • Training & Coaching the teams • Budgeting • Business Planning • Communicating effectively • Business & financial awareness • Analytical thinking and problem solving • Judgment and Decision making • Relationship building